Strategic Policies to Support the Independence and Interaction of Older Adults: A Leadership Model That Is Inclusive of Local Businesses

Abstract

This study employs qualitative analysis techniques for text mining, and its primary focus is on interview data collected from 105 elderly residents living in Mihama City, Fukui Prefecture. The overarching goal of this research is to uncover valuable insights into the specific needs and requirements of the elderly population in this region. Through text mining, several key elements have surfaced, shedding light on important aspects of the elderly residents' lives. These findings underscore the significance of spaces designed to facilitate social interaction, as well as the indispensable role that policy support plays in ensuring the mobility and accessibility of the elderly within the community. Leveraging advanced cluster analysis techniques, a robust conceptual model has emerged. This model offers a comprehensive perspective on the myriad factors that are vital for nurturing an environment in which elderly individuals can not only exist but thrive in contentment and security. One of the significant contributions of this research is the proposal of a holistic leadership model. This model does not merely advocate for policy implementation; it also strongly emphasizes fostering collaboration with the local business sectors. The foundation of this model is built on the principles of continuous engagement with and listening to the evolving needs of the elderly population, rigorous policy implementation, periodic review, and an ongoing commitment to making iterative improvements. The findings of this study underscore the immense importance of actively involving various stakeholders and local businesses in the city planning process. The ultimate objective is to create an environment finely tuned to optimize the overall well-being of older adults, ensuring that they can enjoy a fulfilling and secure lifestyle within the community.

Keywords

• age-friendly urban development
• social interaction
• policy support and leadership
• local businesses
• text mining